11-09 Daily Briefing
AI News Daily · 9 Nov 2025
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Highlights
- Inworld TTS hits 0.25 s latency, WebSocket streaming, and one-second voice cloning, giving digital humans “souls.”
- Google’s DS-STAR fully autonomous data scientist + Camel AI’s context “brainwash” method underline planner/coder/verifier collaboration and memory management for agents.
- Alibaba backs Moonshot/Zhipu with both capital and infra, while Emad Mostaque calls for moral modules in pretraining.
Product / Feature Updates
- Inworld TTS tops the Hugging Face TTS Arena and open-sources its training stack so NPCs, customer service bots, and voice assistants can be interruptible and emotive.
Research Watch
- DS-STAR coordinates planner/coder/verifier/executor to complete clean → analyse → visualise pipelines—perfect inspiration for BI teams. Camel AI’s context summarisation + workflow memory keeps agents from getting lost.
Industry / Capital
- Alibaba invests in Moonshot/Zhipu while providing Qwen, compute, and commerce scenarios—a “capital + tech” ecosystem. Emad Mostaque’s Asimov-style “three laws” plea stresses AGI needs a moral compass.
Open Source / Tools
- umami (⭐31k) privacy-first analytics; LocalStack (⭐62k) local AWS; Airweave (⭐4.6k) cross-system context for agents; MLX-Audio Studio brings TTS/STT workstations to Apple Silicon.
Community Signals
- Qwen Image Edit camera-control demos, ERNIE-5.0 Preview hitting #2 on LMArena, and toolchain/prompt debates show Chinese models + workflows gaining global traction.
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